Undergraduate Program in Statistics
- Rudy Guerra (firstname.lastname@example.org)
Office Hours for Fall 2016 Semester
2097 Duncan Hall
Tues/Thurs 4:00-5:30pm and by appointment
Please send an email to Dr. Guerra for an appointment.
- Dennis Cox (email@example.com)
Office Hours for Fall 2016 Semester
2095 Duncan Hall
Mon/Wed 2:05-3:30pm and by appointment
Please send an email to Dr. Cox for an appointment
- Margaret Poon - alternate contact, Department Coordinator
Office Hours: 8a.m.-5p.m.
Location: 2124 Duncan Hall
The department's goals are to acquaint students with the role played in the modern world by probabilistic and statistical ideas and methods, to provide instruction in the theory and application of techniques that have been found to be commonly useful, and to train research workers in statistics. The undergraduate statistics program is flexible and may be oriented towards theoretical or applied training or towards joint work in a related department, including but not limited to Biology, Economics, Education, Electrical Engineering, Computational and Applied Mathematics, Mathematics, Political Sciences, and Psychology.
Undergraduate Major in Statistics
Learning Outcomes for the BA Degree with a Major in Statistics
Upon completing the BA degree, students majoring in
fundamental theory in probability and statistical inference.
and evaluate statistical models.
and apply statistical computing for data analysis and data science.
competency as a professional statistician.
effective communication skills as a professional statistician.
Requirements for the BA Degree with a Major in
For general university requirements, see Graduation Requirements. Students pursuing the BA degree with a major in
Statistics (STAT) must complete:
minimum of 16 courses (49 credit hours) to satisfy major requirements.
minimum of 120 credit hours to satisfy degree requirements.
minimum of 11 courses (34 credit hours) at the 300-level or above.
The 16 courses presented for the
major in statistics must include the following.
CORE REQUIREMENTS (10 courses)
(a) Mathematics (4 courses)
MATH 101 Calculus I
MATH 102 Calculus II
MATH 212 Multivariable Calculus
CAAM 335 Matrix Analysis or MATH 355 Linear
(b) Computation (3 courses)
STAT 405 Statistical Computing and Graphics
Basic Computing (1 course)
COMP 140 Computational Thinking
COMP 180 Principles of Computing
COMP 182 Algorithmic Thinking
COMP 215 Introduction to Programming
Advanced Computing (1 course)
COMP 322 Fundamentals of Parallel Programming
COMP 330 Tools and Models - Data Science
COMP 382 Reasoning About Algorithms
CAAM 378 Introduction to Operations Research and Optimization
CAAM 440 Applied Matrix Analysis
CAAM 453 Numerical Analysis I
CAAM 471 Linear and Integer Programming
CAAM 519 Computational Science I
(c) Probability and Statistics (2 courses)
STAT 310 – Probability and Statistics
STAT 410 – Linear Regression
(d) Senior Capstone (1 course)
STAT 450 – Senior Capstone in
ELECTIVES (6 courses)
O-group electives are listed here.
Six elective statistics courses at the 300 or higher level are required.
With advisor approval, one elective may be from a department other than
Statistics; such electives are referred to as "O-group"courses. A sample of O-group courses is given here. At least three electives must be chosen from the following list of courses.
STAT 305 and STAT 385 will not count as electives.
STAT 411 Advanced Statistical Methods
STAT 418 Probability
STAT 419 Statistical Inference
STAT 421 Time Series
STAT 422 Bayesian Analysis
STAT 444 Data Mining and Statistical Learning
STAT 453 Biostatistics
STAT 502 Neural Machine Learning I
STAT 541 Multivariate Statistics
STAT 545 Generalized Linear Models
In addition to the departmental requirements for the major, students must also satisfy the distribution requirements and complete no fewer than 60 semester hours outside the departmental requirements for a total program of at least 120 semester hours, as detailed in the Rice University General Announcements.
Emphasis on Computational Finance
The Department of Statistics, in collaboration with several departments across the university, offers a subspecialty in computational finance. By strategically choosing elective courses statistics majors and other quantitative majors can compliment the primary major with this area of study. More information is available on the Center for Computational Finance (CoFES) website. Full details of course requirements are available in the General Announcements .
Transfer credit is available for Stat 280 and Stat 310 with advisor approval It is strongly recommended that you discuss the transfer credit before you take the course. After the course obtain the following:
- A copy of the course syllabus, including topics and textbook. If you can not get a copy of the syllabus, you will need the description from the course catalog, and copies of your homeworks or exams from the course.
- A copy of your transcript showing your grade and the course credit.
- A completed copy of the undergraduate request for transfer credit.
Email one of the advisors listed at the top of the page, asking to set up a time to meet. To make the process as smooth as possible include all the information you have available electronically. At the meeting the advisor will evaluate the request.
No more than three courses can apply from study abroad or transfer credits.
Scholarships and Awards
Graduation with Distinction in Research and Creative Works - PDF